2016-02: Uncertainty in Electricity Markets and System Operation
July 4-8th, 2016

Organizer

Technical University of Denmark (DTU)
Summer School 2016
Lyngby, Denmark

Coordinators

S. Jalal Kazempour (DTU)
Pierre Pinson (DTU)
Athanasios Papakonstantinou (DTU)
Tue V. Jensen (DTU)
Christos Ordoudis (DTU)
Lesia Mitridati (DTU)

Description of the course

Europe has set ambitious targets for renewable energy, with several European countries are already nearing the 2050 goal of 50% penetration. With greater reliance on renewable energy comes a need to represent and proactively handle their uncertainty and intermittency. To meet this challenge, several new market and operational designs have been put forth, based on explicitly including renewable uncertainty in the market clearing or operational formulation.

This summer school aims to give participants practical experience with these methods, enabling the participant to design and implement them, and analyze their outcomes. The summer school focuses on three methods in particular; stochastic, robust and interval optimization. As these methods typically require solving large optimization problems, techniques for decomposing large-scale problems are also introduced.

Participants of the course will:
• Gain practical experience with stochastic, robust and interval optimization and decomposition techniques applied to energy systems.
• See relevant examples of these techniques used in cutting-edge research.
• Sharpen their peer review and feedback skills by reviewing other participants’ work.

Students are expected to have experience with formulating and implementing optimization problems (e.g. in GAMS, Python or Matlab). Experience with power system operation and/or market clearing will make the sessions easier to follow.

Contents and Schedule

The times given below are approximate and subject to change.

Monday
8-10	Introductory session	Pierre Pinson	DTU
10-12	Robust and interval optimization	Hrvoje Pandžić	University of Zagreb
12-14	Lunch
14-16	Robust and interval optimization	Hrvoje Pandžić	University of Zagreb
16-18	Decomposition Techniques I	Jalal Kazempour	DTU
18-?	Social dinner
Tuesday
8-10	Stochastic optimization	Georg Pflug	University of Vienna
10-12	Stochastic optimization	Georg Pflug	University of Vienna
12-14	Lunch
14-16	Stochastic optimization	Georg Pflug	University of Vienna
16-18	Decomposition Techniques II	Jalal Kazempour	DTU
Wednesday
8:30-9:30	Lecture 1	José Manuel Arroyo	Universidad Castilla-La Mancha
9:45-10:45	Lecture 2	Mohammad Shahidehpour	Illinois Institute of Technology
11-12	Lecture 3	Anthony Papavasiliou	Université Catholique de Louvain
12-14	Lunch
14-18	Project session
Thursday
8:30-9:30	Lecture 4	Juan-Miguel Morales	DTU
9:45-10:45	Lecture 5	Miguel Anjos	Polytechnique Monréal
11-12	Lecture 6	Salvador Pineda	University of Copenhagen
12-14	Lunch
14-18	Project session
Friday
9-10	Final project preparation
10-12	Peer review session I
12-14	Lunch
14-16	Peer review session II
16-17	Concluding session
17-	Social event

Venue

Technical University of Denmark (DTU)
Lyngby, Denmark

Registration

Open to all: MSc students, Phd students and industry. Limited number of spaces available.
Please register by sending an e-mail to cee-summerschool@elektro.dtu.dk. Confirmation and payment information shall be sent afterwards.
Application deadline: May 15th, 2016

Credits

We will issue EES-UETP-verified certificates for participation and workload of 2.5 ECTS credits.

Further information

See the Leaflet

2016-02: Uncertainty in Electricity Markets and System Operation July 4-8th, 2016